Decoding human mental states by whole-head EEG plus fNIRS during category fluency task performance

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Omurtag A., Aghajani H., Keles H. O.

JOURNAL OF NEURAL ENGINEERING, cilt.14, sa.6, 2017 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 6
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1088/1741-2552/aa814b
  • Dergi Adı: JOURNAL OF NEURAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: functional near-infrared spectroscopy (fNIRS), electroencephalography (EEG), category fluency, mental state decoding, multi-modal brain recording, support vector machine, hybrid functional neuroimaging, NEAR-INFRARED SPECTROSCOPY, VERBAL-FLUENCY, WORKING-MEMORY, BRAIN ACTIVITY, INDIVIDUAL-DIFFERENCES, PREFRONTAL CORTEX, LONG-TERM, NIRS, CLASSIFICATION, OXYGENATION
  • Ankara Üniversitesi Adresli: Hayır

Özet

Objective. Concurrent scalp electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), which we refer to as EEG+fNIRS, promises greater accuracy than the individual modalities while remaining nearly as convenient as EEG. We sought to quantify the hybrid system's ability to decode mental states and compare it with its unimodal components.